Multi-Agent Playground

The Multi-Agent AI Playground is a hands-on walkthrough that introduces you to agentic AI-systems where AI models take actions, use tools, and work together to accomplish tasks. Through seven progressively complex examples, you'll build your understanding step by step, starting with the basics and working up to more advanced setups. You'll start with simple LLM debates, where AI models argue a topic while another acts as judge, then see how a single agent can use tools like a calculator or web search through the ReAct pattern (Reason → Act → Observe). From there, you'll see how multiple agents can collaborate by sharing information, how a "manager" agent can delegate work to specialized helpers (for example, to build, test, and review a game), and how agents can plan multi-step tasks on their own and even spawn new sub-agents to get the job done. The playground wraps up with reusable "skill" modules that shape how an agent behaves. Along the way, you'll be introduced to popular tools and platforms, giving you a clear picture of how agentic AI systems are built and what's possible.